Eduardo J. Izquierdo
Cited by
Cited by
A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans
WM Roberts, SB Augustine, KJ Lawton, TH Lindsay, TR Thiele, ...
Elife 5, e12572, 2016
Evolution and analysis of minimal neural circuits for klinotaxis in Caenorhabditis elegans
EJ Izquierdo, SR Lockery
Journal of Neuroscience 30 (39), 12908-12917, 2010
Autonomy: a review and a reappraisal
T Froese, N Virgo, E Izquierdo
European Conference on Artificial Life, 455-464, 2007
Connecting a Connectome to Behavior: An Ensemble of Neuroanatomical Models of C. elegans Klinotaxis
EJ Izquierdo, RD Beer
PLoS computational biology 9 (2), e1002890, 2013
Associative learning on a continuum in evolved dynamical neural networks
E Izquierdo, I Harvey, RD Beer
Adaptive Behavior 16 (6), 361-384, 2008
Analysis of a Dynamical Recurrent Neural Network Evolved for Two Qualitatively Different Tasks: Walking and Chemotaxis.
E Izquierdo, T Bührmann
ALIFE, 257-264, 2008
The whole worm: brain–body–environment models of C. elegans
EJ Izquierdo, RD Beer
Current opinion in neurobiology 40, 23-30, 2016
Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion in Caenorhabditis elegans
EO Olivares, EJ Izquierdo, RD Beer
Network Neuroscience 2 (3), 323-343, 2018
Is an embodied system ever purely reactive?
E Izquierdo-Torres, ED Paolo
European Conference on Artificial Life, 252-261, 2005
From head to tail: a neuromechanical model of forward locomotion in Caenorhabditis elegans
EJ Izquierdo, RD Beer
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
Optimal modularity and memory capacity of neural reservoirs
N Rodriguez, E Izquierdo, YY Ahn
Network Neuroscience 3 (2), 551-566, 2019
Information flow through a model of the C. elegans klinotaxis circuit
EJ Izquierdo, PL Williams, RD Beer
PloS one 10 (10), e0140397, 2015
Embodied dyadic interaction increases complexity of neural dynamics: A minimal agent-based simulation model
M Candadai, M Setzler, EJ Izquierdo, T Froese
Frontiers in psychology 10, 540, 2019
An integrated neuromechanical model of steering in C. elegans
EJ Izquierdo, RD Beer
ECAL 2015: the 13th European Conference on Artificial Life, 199-206, 2015
Collective intelligence in multi-agent robotics: Stigmergy, self-organization and evolution
E Izquierdo-Torres
University of Sussex, 2004
Role of simulation models in understanding the generation of behavior in C. áelegans
EJ Izquierdo
Current Opinion in Systems Biology 13, 93-101, 2019
Hebbian Learning using Fixed Weight Evolved DynamicalNeural'Networks
E Izquierdo-Torres, I Harvey
2007 IEEE Symposium on Artificial Life, 394-401, 2007
Analysis of ultrastability in small dynamical recurrent neural networks
E Izquierdo, M Aguilera, R Beer
ECAL 2013: The Twelfth European Conference on Artificial Life, 51-58, 2013
The dynamics of learning behaviour: a situated, embodied, and dynamical systems approach
EJ Izquierdo
University of Sussex, 2008
The evolution of evolvability in gene transcription networks.
E Izquierdo, C Fernando
ALIFE, 265-273, 2008
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